Machine Learning (ML)
Machine learning algorithms use experience to improve their performance on a given task. In practice, usually "experience" is understood as data,
and performance is measured according to the task at hand. Our main research directions on ML include the following areas:
Probabilistic Graphical Models (PGMs)
Neural Networks
Natural Language Processing (NLP)
Classification, regression, imputation, and data augmentation methods